Topological relation identification method based on voltage data

Abstract

The invention discloses a topological relation identification method based on voltage data. The method comprises the following steps: preprocessing voltage data acquired by a user electricity utilization information acquisition system; performing correlation analysis on the preprocessed voltage data by using a Pearson's correlation coefficient, determining the correlation closeness degree between the total ammeter voltage and the branch ammeter voltage of transformer areas, and dividing different transformer areas based on the correlation closeness degree; carrying out principal component extraction on the voltage data of each transformer area, and clustering the electricity meters of each transformer area according to the extracted principal components and phase lines; on the basis of a clustering result, performing in-phase line grouping on each electricity meter in each transformer area; and sorting the ammeters in the same-phase line groups according to the voltage values, sorting the distances from the ammeters to the transformers in the same-phase line groups in combination with a voltage attenuation principle, and determining the physical topological structures of the ammeters in the courts. According to the invention, operation and maintenance personnel can be helped to know the operation condition of the transformer area in time, and faults can be accurately positioned and transformer area line loss lean management can be realized.

Description

technical field [0001] The invention relates to the technical field of operation and maintenance of distribution network lines, and more specifically relates to a method for identifying topological relationships based on voltage data. Background technique [0002] Line loss refers to the power loss generated when electric energy passes through, and the power loss directly affects the efficiency and economic benefits of electric power. In addition, the line loss is also the main assessment index of the low-voltage station area, and the accurate topological relationship of the station area is the premise of accurate calculation of the line loss of the station area. [0003] With the development of the power grid and the access of a large number of users, the low-voltage station area has many users, complex structure, and insufficient investment. The topological relationship of the station area is the basic work of power supply service, but due to the lack of corresponding aut...

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Problems solved by technology

[0003] With the development of the power grid and the access of a large number of users, there are many users in the low-voltage station area, the structure is complex, and the investment is insufficient.

The topological relationship of the station area is the basic work of power supply services, but due to the lack of corresponding automation and information means, the topological structure of the low-voltage station area is missing or inaccurate, which affects the management level of line loss, and it is impossible to conduct accurate power outage notification and equipment repair research and judgment , and the reporting and processing efficiency of delayed terminal events

If the problem in the station area is not resolved, in the long run, it will affect the service quality and service efficiency of the power company, and reduce customer service satisfaction

[0004] At present, the methods of station area topology identification are mainly divided into two categories. One is based on manual work, which requires the active cooperation of on-site personnel to complete the task of station area topology identification, but a lot of manpower and material resources are wasted.

The second is based on communication technology, and proposes a station area topology recognition method based on LoRa technology and GPU acceleration. Through LoRa communication technology and high-performance computing technology, the data of smart energy meters is analyzed and identified, but it is susceptible to transmission distance and Impact on communication quality

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